Index Generation of BGM Video Based on Distinctive Comments

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The purpose of this study is to generate indexes for background music (BGM) based on distinctive comments annotated to BGM videos posted on Nico Nico Videos. Our proposed method detects the end/start positions of the BGM considering the increase/decrease in the number of comments, comments distinctive to the songs, and exclamatory expressions annotated to the videos. The evaluation result indicated that the proposed method could generate correct indexes within a 10 s error for BGM videos less than 40 min long and with annotations of over 30,000 comments.

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詳細情報 詳細情報について

  • CRID
    1050845763182370176
  • NII論文ID
    120006627854
  • ISSN
    18833918
  • Web Site
    http://repo.lib.tokushima-u.ac.jp/113249
  • 本文言語コード
    en
  • 資料種別
    journal article
  • データソース種別
    • IRDB
    • CiNii Articles
    • KAKEN

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